Buddha once said, "To reach Enlightenment, you must turn data into insight and insight into action". Ok, he didn't say that, but Knowi can help you blend hindsight with foresight and drive actions from your data.
Currently, Knowi supports Classification and Regression type Machine Learning use cases, with clustering and deep learning coming soon.
In supervised learning you select algorithms based on the type of prediction response:
- if your response is continuous numbers, then you will be using regression algorithms.
- if your response is categories or classes, then you will be using classification algorithms.
For example, if you are building a model to predict the $ amount by which a person is likely to default on a credit card payment, then it's regression. However, if your you just want to know if they are likely to default or not then it's classification.
Trigger Notification and Actions
Triggers and actions can be applied to the results. For example, you can send an alert or a webhook into your application for the users with a high risk of default for the use case above. The process for setting up triggers and alerts on a query with machine learning remains the same as a normal dataset/query. For more details, see Alerts.